BERTurk_hate_span_all – AI Model by gokceuludogan | AlphaNeural AI

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gokceuludogan/
BERTurk_hate_span_all

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token-classification

generated_from_trainer

dbmdz/bert-base-turkish-cased

autotrain_compatible

endpoints_compatible

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BERTurk_hate_span_all

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1292
Precision: 0.6325
Recall: 0.5175
F1: 0.5692
Accuracy: 0.9700

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1724	1.0	230	0.1273	0.2477	0.4907	0.3292	0.9597
0.1228	2.0	460	0.1410	0.3866	0.4259	0.4053	0.9684
0.0564	3.0	690	0.1094	0.3955	0.4907	0.4380	0.9719
0.0414	4.0	920	0.1226	0.5192	0.5	0.5094	0.9739
0.0165	5.0	1150	0.1548	0.4359	0.4722	0.4533	0.9713
0.0069	6.0	1380	0.1959	0.5604	0.4722	0.5126	0.9749

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1